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Artificial Intelligence-Assisted Speech Therapy for /ɹ/: A Single-Case Experimental Study.

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  • المؤلفون: Benway NR;Benway NR; Preston JL; Preston JL
  • المصدر:
    American journal of speech-language pathology [Am J Speech Lang Pathol] 2024 Sep 18; Vol. 33 (5), pp. 2461-2486. Date of Electronic Publication: 2024 Aug 22.
  • نوع النشر :
    Journal Article
  • اللغة:
    English
  • معلومة اضافية
    • المصدر:
      Publisher: American Speech-Language-Hearing Association Country of Publication: United States NLM ID: 9114726 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1558-9110 (Electronic) Linking ISSN: 10580360 NLM ISO Abbreviation: Am J Speech Lang Pathol Subsets: MEDLINE
    • بيانات النشر:
      Original Publication: Rockville Md : American Speech-Language-Hearing Association
    • الموضوع:
    • نبذة مختصرة :
      Purpose: This feasibility trial describes changes in rhotic production in residual speech sound disorder following ten 40-min sessions including artificial intelligence (AI)-assisted motor-based intervention with ChainingAI, a version of Speech Motor Chaining that predicts clinician perceptual judgment using the PERCEPT-R Classifier (Perceptual Error Rating for the Clinical Evaluation of Phonetic Targets). The primary purpose is to evaluate /ɹ/ productions directly after practice with ChainingAI versus directly before ChainingAI and to evaluate how the overall AI-assisted treatment package may lead to perceptual improvement in /ɹ/ productions compared to a no-treatment baseline phase.
      Method: Five participants ages 10;7-19;3 (years;months) who were stimulable for /ɹ/ participated in a multiple (no-treatment)-baseline ABA single-case experiment. Prepractice activities were led by a human clinician, and drill-based motor learning practice was automated by ChainingAI. Study outcomes were derived from masked expert listener perceptual ratings of /ɹ/ from treated and untreated utterances recorded during baseline, treatment, and posttreatment sessions.
      Results: Listeners perceived significantly more rhoticity in practiced utterances after 30 min of ChainingAI, without a clinician, than directly before ChainingAI. Three of five participants showed significant generalization of /ɹ/ to untreated words during the treatment phase compared to the no-treatment baseline. All five participants demonstrated statistically significant generalization of /ɹ/ to untreated words from pretreatment to posttreatment. PERCEPT-clinician rater agreement (i.e., F1 score) was largely within the range of human-human agreement for four of five participants. Survey data indicated that parents and participants felt hybrid computerized-clinician service delivery could facilitate at-home practice.
      Conclusions: This study provides evidence of participant improvement for /ɹ/ in untreated words in response to an AI-assisted treatment package. The continued development of AI-assisted treatments may someday mitigate barriers precluding access to sufficiently intense speech therapy for individuals with speech sound disorders.
      Supplemental Material: https://doi.org/10.23641/asha.26662807.
    • الموضوع:
      Date Created: 20240822 Date Completed: 20240918 Latest Revision: 20240918
    • الموضوع:
      20240919
    • الرقم المعرف:
      10.1044/2024_AJSLP-23-00448
    • الرقم المعرف:
      39173110